PT - JOURNAL ARTICLE
AU - Schmitz, Norbert
AU - Nitka, Danit
AU - Gariepy, Genevieve
AU - Malla, Ashok
AU - Wang, JianLi
AU - Boyer, Richard
AU - Messier, Lyne
AU - Strychar, Irene
AU - Lesage, Alain
TI - Association between Neighborhood-Level Deprivation and Disability in a Community Sample of People with Diabetes
DP - 2009 Aug 12
TA - Diabetes Care
4099 - http://care.diabetesjournals.org/content/early/2009/08/03/dc09-0838.short
4100 - http://care.diabetesjournals.org/content/early/2009/08/03/dc09-0838.full
AB - Objective— The aim of the present study was to analyze the association between neighborhood deprivation and self reported disability in a community sample of people with type 2 diabetes. Research design and methods— Random digit dialing was used to select a sample of adults with self-reported diabetes aged 18 to 80 years in Quebec. Health status was assessed by the World Health Organization Disability Assessment Schedule II. Material and social deprivation was measured using the Pampalon index, which is based on the Canadian census. Potential risk factors for disability included sociodemographic characteristics, socioeconomic status, social support, lifestyle-related factors (smoking, physical activity, and BMI), health care related problems, duration of diabetes, insulin use and diabetes specific complications. Results— There was a strong association between disability and material and social deprivation in our sample (n=1439): participants living in advantaged neighborhoods had lower levels of disability than participants living in disadvantaged neighborhoods. The mean disability scores for men were 7.8 (SD=11.8), 12.0 (SD=11.8), and 18.1 (SD=19.4) for low, medium, and high deprivation areas, respectively (p&lt;0.001). The mean disability scores for women were 13.4 (SD=12.4), 14.8 (SD=15.9), and 18.9 (SD=16.2) for low, medium, and high deprivation areas, respectively (p&lt;0.01). Neighborhood deprivation was associated with disability even after controlling for education, household income, sociodemographic characteristics, race, lifestylerelated behaviors, social support, diabetes related variables and health care access problems. Conclusions— The inclusion of neighborhood characteristics might be an important step in the identification and interpretation of risk factors for disability in diabetes.